Senior Software Engineer (Data Platform)
Tasks
- Build data storage and sharing solutions
- Design data ingestion systems
- Develop ETL/ELT pipelines
- Ensure data synchronization and integration
- Implement data processing workflows
- Implement monitoring and alerting
- Maintain data quality and security
- Optimize data architectures for performance
- Perform code reviews and debugging
- Troubleshoot data pipeline defects
Perks/Benefits
- Additional vacation days
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave for military training
- Training programs
- Volunteer time off
- Wellbeing resources
- Work from anywhere in EU
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | Best practices | Cloud platform | DBT | Databricks | DevOps | Docker | Event Driven | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Message-based | Message-based integration | NoSQL | Python | Real Time | Real-time Systems | SQL | Security best practices | Snowflake | Testing | Time Systems | “as-code”
Education
N/A
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